Free historical data access
This page allows anybody to download historical Markets data for free. Different Markets are available : Stocks, Forex, Cryptos, Indices, Bonds, ETF, …
At NakedMarkets, we think that this data has to become public and do not belong to any entity. The reliability of the Markets data is very important during the Backtesting process, to be as close as possible to the reality. Everyone should be able to access it easily and for free.
Quality data
The source of this data is diversified. The main one is the direct access to the Markets through the available brokers. Some of them are from public and free data, available online. The rest can come from paying services.
We are always looking for more Financial quality data in order to centralize it on this website and allowing everybody to download it for free.
Let us know if you are aware of some reliable and good quality data sources. Free or not. You can send us an email to contact@naked-markets.com.
Data format
By allowing the access to M1 and Tick data, it’s possible to use it in the most popular tools.
In order to simplify the importing process in any backtesting software, we chose to use a simple TXT file format.
Here is an example of the M1 timeframe data format :
<date>, <time>
20170512,133000,91.00000000000,91.00000000000,91.00000000,91.00000000000,0000000002
The Tick data format allows a higher precision when backtesting with such kind of data.
In the same vein, we chose to use a simple TXT file format to simplify the importing process in any backtesting software
Here is an example of the Tick data format :
<symbol>,<date>,<time>,<bid>, <ask>
#DVY,20170801,190611,92.78,92.77
How to use the data
There is no need to import this data within NakedMarkets because it’s natively available through the Datacenter feature
It’s possible to import the data from the “History Center” in Metatrader.
You can follow this guideline to achieve this : https://firstratedata.com/blog/2/importing-historic-data-mt4-metatrader-4
You can follow this guideline to achieve this : https://forextester.com/import